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   影像匹配 在 建筑科学与工程 分类中 的翻译结果: 查询用时:0.229秒
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影像匹配
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  image matching
Texture is an important attribute for medical image matching and retrieval.
      
The SCSF is effective and efficient for image matching because it is independent of image distortion such as rotation and flip as well as it increases the matching accuracy.
      
Our experiments show that the image matching is quickly and efficiently with the use of SCSF.
      
Then image matching, based on the maximum correlation coefficient, is performed between registered images after the low contrast areas have been removed.
      
In this paper, an automatic approach with multi-step image matching algorithm is presented.
      
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This paper presents a method to calculating DTM from DSM in urban area which is based on the image matching result and structure and texture features.

讨论了根据影像匹配的结果将DSM修正成DTM的方法。本文针对城市地区航空影像的立体匹配结果,结合影像的结构纹理特征,提出了一种自动修正影像匹配结果以获得正确的DTM的方法。

Reconstruction of 3D landscape for urban region is an important research in digital photogrammetry and visualization. By means of object extracting technique, corners of the house have been located automatically according to approximate points firstly in this paper. Then, the window, including much area of house proof instead of centering at the corner of house, is created to perform image matching for house corner. The reliability of image matching is improved. After the 3D data of houses are measured semi...

Reconstruction of 3D landscape for urban region is an important research in digital photogrammetry and visualization. By means of object extracting technique, corners of the house have been located automatically according to approximate points firstly in this paper. Then, the window, including much area of house proof instead of centering at the corner of house, is created to perform image matching for house corner. The reliability of image matching is improved. After the 3D data of houses are measured semi automatically, texture restoration of visual surface on the buildings is achieved based on the 2.5D triangulated irregular network of ground and building surface and original digital image. The real 3D landscape of urban is reconstructed.

本文利用目标提取技术,根据近似点位进行房屋角点的自动定位,自动搜索同名点,然后建立一个尽可能多地包含房顶面的目标窗口,取代传统的以房角为中心的窗口进行房顶角点影像匹配,提高了房顶角点匹配的可靠性,实现了航空影像房屋三维数据的半自动量测。进而在地面与建筑物表面二维半不规则三角网和原始数字影像的基础上,实现了建筑物可见表面纹理的恢复,重建了城市真实三维景观。

This paper presents algorithms for automatic establishment of the topology of convex polygon and right-angled polygon respectively by using the house characteristic points extracted through image matching based on the analysis of polygon topology.

在已有的利用影像匹配提取出的房屋特征点的基础上,通过对多边形的拓扑结构的分析,分别提出了自动建立凸多边形和直角多边形拓扑关系的算法。

 
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